Degree | Type | Year | Semester |
---|---|---|---|
4316624 Internet of Things for e-Health | OT | 0 | 2 |
It is recommended to have basic knowledge on Linux and Cloud Computing (concepts & practice).
This course will explore research, frameworks, and applications in Edge Computing. The course will begin with a review of the problems of current big data at Cloud Computing and the student will then explore frameworks for computing over edge devices and cloud. Students will also create a lab project to test edge and cloud computing technologies.
Outline of course topics:
Unit 1: Introduction to Edge Computing
Unit 2: The Cloud Computing: problems & solutions
Unit 4: Edge Architectures & frameworks. Simulation.
Unit 5: Edge Computing Applications & Case Study (service data provider + mobile app + backend).
The course will be developed in classes, lab sessions and seminars with discussion groups & students presentations.
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Lab | 12 | 0.48 | 2, 5, 6, 7 |
Lectures | 27 | 1.08 | 1, 2, 5, 6, 7, 4 |
Type: Autonomous | |||
Collaborative work | 20 | 0.8 | 1, 2, 8, 3, 4 |
Individual (personal work) | 40 | 1.6 | 1, 2, 5, 7, 8, 4 |
Preparation and study | 40 | 1.6 | 1, 2, 5, 8, 3, 4 |
The evaluation will be made by developing the proposed case studies using the tools presented in the lectures sessions and laboratory. Group work and interaction will also be assessed. Finally, the student will perform a conceptual test to evaluate the main aspects of the subject.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Cases Studies: Analysis & Development | 48 | 4 | 0.16 | 1, 2, 5, 6, 7, 8, 3, 4 |
Discussion in the forums | 17 | 3 | 0.12 | 1, 2, 5, 6, 7 |
Quiz | 35 | 4 | 0.16 | 1, 5, 6, 7, 8, 3 |
General
Specific:
Edge Architecture, Services
IoT
Device Clouds, Edge Sensor Systems